Seismic Multi-Parameter Full-Waveform Inversion Based on Rock Physical Constraints

Seismic multi-parameter full-waveform inversion (FWI) integrating velocity and density parameters can fully use the kinematic and dynamic information of observed data to reconstruct underground models. However, seismic multi-parameter FWI is a highly ill-posed problem due to the strong dependence on the initial model. An inaccurate initial model often leads to cycle skipping and convergence to local minima, resulting in poor inversion results. The introduction of prior information can regularize the inversion problem, not only improving the crosstalk phenomenon between parameters, but also effectively constraining the inversion parameters, enhancing the inversion efficiency. Multi-parameter FWI based on rock physical constraints can introduce prior information of underground media into the objective function of FWI. Taking a simple layered model as an example, the results show that the inversion strategy based on rock physical constraints can enhance the stability of inversion and obtain high-precision inversion results. Application to the international standard 1994BP model further confirms that the proposed inversion strategy has good applicability to complex geological models.

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Publication Details

Journal
Applied Sciences
Published
2025-07-14
DOI
https://doi.org/10.3390/app15147849
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Seismic Multi-Parameter Full-Waveform Inversion Based on Rock Physical Constraints

Jia Tang, Cen Cao, Deshan Feng, Xun Wang
Applied Sciences
Seismic Imaging and Inversion Techniques
article

Seismic Multi-Parameter Full-Waveform Inversion Based on Rock Physical Constraints

Jia Tang, Cen Cao, Deshan Feng, Xun Wang
article en

Abstract

Seismic multi-parameter full-waveform inversion (FWI) integrating velocity and density parameters can fully use the kinematic and dynamic information of observed data to reconstruct underground models. However, seismic multi-parameter FWI is a highly ill-posed problem due to the strong dependence on the initial model. An inaccurate initial model often leads to cycle skipping and convergence to local minima, resulting in poor inversion results. The introduction of prior information can regularize the inversion problem, not only improving the crosstalk phenomenon between parameters, but also effectively constraining the inversion parameters, enhancing the inversion efficiency. Multi-parameter FWI based on rock physical constraints can introduce prior information of underground media into the objective function of FWI. Taking a simple layered model as an example, the results show that the inversion strategy based on rock physical constraints can enhance the stability of inversion and obtain high-precision inversion results. Application to the international standard 1994BP model further confirms that the proposed inversion strategy has good applicability to complex geological models.

Applied SciencesVol. 15(14)
Central South University (CN), PowerChina (China) (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hainan Province
Openalex Percentile: Top 79%
Seismic Imaging and Inversion Techniques
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